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PROJ00326
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Last modified
11/19/2009 11:43:18 AM
Creation date
10/5/2006 11:49:48 PM
Metadata
Fields
Template:
Loan Projects
Contract/PO #
C153498
Contractor Name
U. S. Geological Survey
Water District
0
County
Boulder
Bill Number
SB 87-15
Loan Projects - Doc Type
Contract Documents
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<br />ferent logging companies. The mean bulk density of <br />the interval was 2.23 glcm3 in hole CI and well USG::; <br />2.22 glcm3 in hole CIA, and 2.20 glcm3 in well A3. ' <br />The maximum correction needed to produce an identi- <br /> <br />cal bulk density among the four logs was +0.03 glcm3. <br /> <br />In a formation that has a grain density of 2.65 glcm3, a <br /> <br />0.03-glcm3 correction to bulk density produces a minor <br />change in calculated porosity of 0.02 porosity units. <br />Although a small porosity error was associated <br />with quality control in the four logs at the test site, a <br />large potential error was identified by Patchett and <br />Coalson (1979) in a much larger sampling of wells. If <br />a log normalization procedure was implemented before <br />the log was used to estimate porosity or specific yield <br />some quality-control errors could be eliminated. Mos; <br />normalization procedures (Neinast and Knox, 1973) <br />require identification of calibration beds in which the <br />correct log response can be detennined from core ana)- <br />yses or by examination of many logs from nearby <br />wells. This technique probably is not feasible in the <br />Denver basin aquifer system (or other large aquifer sy~_ <br />terns) because of the few core data available, the size <br />of the system (the Denver basin extends through <br /> <br />6,700 mi2), and the discontinuous or lenticular nature <br />of the lithologic units. In the absence of a rigorous no>_ <br />malization procedure, a comparison of all density log~ <br />from nearby wells would at least ensure that the log to <br />be used in porosity or specific-yield estimates is rea- <br />sonable and representative of conditions indicated in <br />other logs. <br /> <br />Stochastic Errors <br /> <br />A density log, like any nuclear log, has a stochas_ <br />tic component in the log response caused by the ran- <br />dom process of radioactive decay. Instantaneous <br />readings from a radiation detector can vary widely. <br />More meaningful readings can be obtained by averag- <br />ing the readings over time. In geophysical logging, the <br />rate of movement of the logging tool up the borehole <br />detennines the duration of the averaging period at any <br />given depth. A practical compromise is needed to <br />achieve adequate averaging time, while still maintain- <br />ing a workable logging speed. The resulting density <br />log is not an exact measure of the radiation (and hence <br />bulk density) at each depth. This is indicated by a com, <br />parison of the density log and a 215-ft repeat section of <br />the log, both run in hole CIA. Differences between the <br />response of the two logs at I-ft depth intervals have a <br /> <br />mean of zero, a standard deviation of 0.03 glcm3, a <br /> <br />range of -0.09 to +0.11 glcm3, and a normal distribu- <br /> <br />tion. These statistics indicate that repeated logging of <br />an interval likely will produce identical mean values of <br />bulk density for the interval, but that density values at <br />specific depths can vary from log to log. Likewise, if a <br />density porosity log is used to estimate porosity or spe- <br />cific yield, log values would be better used to calculate <br />a mean value for a depth interval rather than to deter- <br />mine the porosity or specific yield at a specific depth. <br /> <br />Mean Grain-Density Errors <br /> <br />The grain density for a sandstone matrix com- <br /> <br />monly is set to 2.65 glcm3 in density logging, and this <br />value is used in equation 2 to calculate the porosity <br />shown on the porosity log. The mean grain density <br />for 139 core samples from holes CI and CIA that <br />have corresponding grain-size data (Robson and Banta, <br /> <br />1993) also is 2.65 glcm3. However, the frequency <br />distribution of the density data is bimodal because the <br />coarser grained samples have a different mean and <br />mode than do the finer grained samples. The mean <br />grain density for the coarser grained (sandstone) sam- <br />ples is 2.63 glcm3; the mean density for the finer <br /> <br />grained (mudstone) samples is 2.68 glcm3. The <br /> <br />0.05-glcm3 difference in mean densities produces a <br />minor difference in calculated porosity of 0.02 porosity <br />units. The range in grain density measured in the <br /> <br />139 core samples (2.59 to 2.79 glcm3) produces a <br />0.08 difference in porosity. The large range again indi- <br />cates the need for porosity and specific yield to be <br />calculated as a mean for a depth interval rather than a <br />value for a specific depth. <br /> <br />Rugosity Errors <br /> <br />The density log is very sensitive to the rugosity <br />of the borehole because any void between the logging <br />tool and the borehole wall is registered on the log as a <br />decrease in bulk density and as an increase in porosity. <br />Density logging tools generally are pad mounted and <br />decentralized to ensure close coupling between the tool <br />and the borehole, and density logs are run in conjunc- <br />tion with a caliper that measures borehole diameter. <br />The caliper data are used to make corrections to the <br />density log to compensate for changes in borehole <br />diameter. In some logging tools, dual detectors of dif- <br />ferent spacing and depths of investigation are used to <br />more effectively compensate for borehole rugosity. <br />Both means of compensation are adequate to correct <br />for gradual changes in diameter of a circular borehole <br /> <br />POROSITY ESTIMATES FROM GEOPHYSICAL LOGS 11 <br />
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